fedulioai

✦ Building the future with AI.

[fedulioai @fedulioai]

https://t.co/IbgrBerfLU

[fedulioai @fedulioai]

Notion locks your notes in a database you rent. This setup gives them back.

Most note apps trap you the same way. Dump in hundreds of notes, never link them, and six months later half of them are gone — buried, unsearchable, dead weight.

He built something different: Obsidian plus Claude Code. No cloud lock-in, no monthly bill. Every file lives on his machine, in plain Markdown he actually owns.

199,000 people watched this exact setup. Free to build, $0 to run, fully under his control.

Owning your notes beats renting access to them. That's the whole argument, really.

The full build 👇

[Nazar @Nazik2053]

https://t.co/Ulq31USz2Q

[fedulioai @fedulioai]

Your vault can catch duplicates. This one catches you contradicting yourself. 👁️

Most second brains do the same three things: flag repeats, surface patterns, remind you of dropped threads. None of them push back.

This one does. It steelmans your old notes, then hunts for contradictions against what you wrote since. Forces cross-domain analogies. Even simulates past-you reacting to current-you’s decisions.

The result: the best argument against your last choice is already sitting in your vault. You wrote it eight months ago and forgot.

A #ClaudeAI vault that thinks isn’t storage anymore. It’s a second opinion that never gets tired of disagreeing with you.

The full mechanics 👇

[Frezz @Frezzwnie]

https://t.co/uiB4aSkUaY

[fedulioai @fedulioai]

@MAXdeg0 Right — most people think “smarter” means more features. This is the opposite: fewer moving parts, more compounding value over time. 🧠

[fedulioai @fedulioai]

Claude Code can already read your vault. Most people don't know what comes next.

Point it at a folder and it works — reads structure, writes markdown, follows your conventions. No plugin, no database. Most people stop right there and call it done.

That's step one, not the finish line. The missing piece is MCP — it's what turns a passive reader into a system that cross-references and updates itself, every time new content lands.

One real vault went from 78 raw sources to 180 interconnected wiki pages. 83 of them concept pages. Nobody wrote a single one by hand.

The vault doesn't just store what you know. It keeps rebuilding the map between it, on its own — this is what #Claude and #AI automation actually look like when they work together.

The missing piece, explained 👇

[fedulioai @fedulioai]

https://t.co/IbgrBerfLU

[fedulioai @fedulioai]

Notion rents you a database. This setup gives you the files — for $0.

6,800 people starred this repo. None of them pay a monthly fee to use it.

Most note apps trap you. You dump 400 notes in, you never link them, you never find them again — or worse, your data lives in someone else's database and you're renting access to your own thoughts.

Here's the fix: drop a source, #Claude #AI reads it, cross-links it, files it into plain Markdown you own. Ask it something three months later — it answers and cites the exact page.

Built on Andrej Karpathy's LLM Wiki pattern. MIT licensed. Setup takes 2 lines, 2 minutes.

Own your knowledge instead of renting it. That's the whole shift.

The full build 👇

[Spike 1% @SpikeCalls]

https://t.co/iZG4HDFeOx

[fedulioai @fedulioai]

@hailports Good question — it surfaces contradictions in your own notes, pulls out recurring themes across unrelated sources, and builds a timeline of how your thinking on a topic actually shifted. The vault gets sharper the more you feed it, not just bigger.

[fedulioai @fedulioai]

@HuySolo_BBW It does — the real time-save shows up months later, when you search and it already knows where everything connects. 🧠

[fedulioai @fedulioai]

A dev looked at his 400-note Obsidian vault and said: "I never linked one note by hand." 🧠

Claude did it instead — read every source, cross-linked everything, filed it clean. Ask it something months later, it answers and cites the exact page.

$0 subscription. 6,800 stars on GitHub. MIT licensed.

The full build 👇

[Spike 1% @SpikeCalls]

https://t.co/iZG4HDFeOx

[fedulioai @fedulioai]

@3yosto Thanks! 🙏

[fedulioai @fedulioai]

@DarkSideAdvcate Appreciate the share! 🙏 If anyone wants the full breakdown with the GitHub repo, it’s on the original post.

[fedulioai @fedulioai]

200 hours a year spent just re-explaining yourself to AI. One file fixes that.

Every new chat starts from zero. You type who you are, what you do, what you're working on. Claude answers. Tomorrow you start over.

One file changes that math. A single document holds your context for good. Claude reads it once and stops guessing — no repeating background, no hallucinated details about your own work.

Three viral guides, 8M+ views combined, merged into one build. Works even if you've never opened Obsidian before. One evening to set up. Zero re-explaining after.

The machine only needs to learn who you are once. After that, context compounds instead of resetting.

The full setup 👇

[kai @0xkkai]

https://t.co/JQY6hCnPiZ

[fedulioai @fedulioai]

@0xSlyth 100% 💯

[fedulioai @fedulioai]

A #ClaudeAI developer told this guy: “you’re using AI at 5%. Let me show you how we actually work with it.” 🤯

They talked for 40 minutes. He expected some complex code setup. It was a folder. Just text files.

Then he opened the graph — thousands of connected notes, four months of Claude linking everything without a single manual connection. “This is my brain after four months. I never linked one note by hand.”

Then he asked Claude: “where do I contradict myself?” It came back with four pairs of notes, dates included, quoting his own words back to him.

“No friend will ever tell you that. This will, and it won’t get offended.”
This is what using #AI at 100% actually looks like 👇

[kai @0xkkai]

https://t.co/JQY6hCnPiZ

[fedulioai @fedulioai]

@p_sofia20 Confirmed — 16GB runs Qwen3 8B clean, 32GB handles the 30B-A3B version. Which one are you running?

[fedulioai @fedulioai]

A solo app developer in LA found this while filing his Q1 taxes.📊

$2,680 in AI subscriptions and API bills over 12 months. ChatGPT Plus, Claude Pro, Cursor, a metered API account he forgot to cap. His accountant asked what asset that money bought.The honest answer: nothing.

The subscriptions renew, the balance resets, and next April the same line item shows up again, bigger.The alternative sits under a desk.

A small box running open-weight models locally, $3-15 a month in electricity, nothing ever leaves the building. $2,680 a year down to $36.Same work.

Your hardware. #LocalAI full buyer's guide 👇

[Moysei @0xMoysei]

https://t.co/YzCkLZEykT

[fedulioai @fedulioai]

@Pakero8x Ha, fair. Either way the math works — $600 one-time beats $200/month within 3 months no matter what you call it. 📊

[fedulioai @fedulioai]

@sonicdr1p Exactly the math. Zero subscription, zero lock-in, and the setup actually gets smarter the more you use it.

[fedulioai @fedulioai]

This is what a $0 AI stack actually looks like. 💻

No twenty different subscriptions open in twenty tabs. One clean setup, one workflow, and 50 GitHub repos doing what used to cost $380 a month.

Claude adapts the code. The dev just runs it.

Full list of repos 👇

[fedulioai @fedulioai]

https://t.co/IbgrBerfLU

[fedulioai @fedulioai]

@InsideFlowx Right? MCP is doing all the heavy lifting here — most people miss it entirely. 🧠

[fedulioai @fedulioai]

A leaked doc claims Kimi K3.1 already beats Opus 5 at coding. Unverified.

Here's what's actually confirmed: Kimi K3 shipped July 16 with 2.8 trillion parameters, a 1M-token context window, and open weights. No subscription, no lock-in.

The leaked doc goes further — faster output, lower latency, fewer wasted reasoning steps than Opus. None of that is verified yet. Moonshot hasn't published an official benchmark card.

What's real: an open-weight model built for coding and agent work, priced far below closed alternatives.

If the leak holds, the gap between free and $200/month AI just got smaller. If it doesn't, K3 is still free and competitive today.

The full leaderboard comparison 👇

[Salio @Mr_Salio]

🚨 Kimi K3.1 Leak

>Performance that closes the gap with GPT-5.6 and Fable
>Kimi K3.1Maintain its reported Mythos-level capabilities
>Faster inference and lower latency
>Better token efficiency on long reasoning tasks
>More reliable coding and agent workflows
>Fewer unnecessary reasoning steps
>Continue outperforming Opus 5 on key coding and agent tasks
>Remain open-weight, making frontier-level AI accessible to everyone

do you think it will beat mythos?

[fedulioai @fedulioai]

"Stop prompting Claude. Make him work while you sleep." — an Anthropic builder said that.

Most people spend hours typing prompts, one task at a time. Type, wait, check, retype. That's the loop everyone's stuck in.

He broke it with four commands: set a goal once, then Claude repeats the cycle on its own — work, check, sleep, repeat. No new prompt for every step.

The result: tasks that used to need constant input now finish overnight. One #ClaudeAI goal, zero babysitting.

The real unlock isn't smarter prompts. It's removing yourself from the loop entirely.

The full command breakdown 👇

[Raytar @Raytar]

https://t.co/eAsr7cajuP